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NEW QUESTION: 1
Your network contains two servers named Server1 and Server2. Both servers run Windows Server 2012 R2. On Server1, you create a Data Collector Set (DCS) named Data1.
You need to export Data1 to Server2.
What should you do first?
A. Right-click Data1 and click Export list...
B. Right-click Data1 and click Properties.
C. Right-click Data1 and click Data Manager...
D. Right-click Data1 and click Save template...
Answer: D
Explanation:
Exporting Templates To export a Data Collector Set you create as a template for use on other computers, open Windows Performance Monitor, expand Data Collector Sets, right-click the Data Collector Set you want to export, and click Save Template . Select a directory in which to store the XML file and click Save .
Reference: Create a Data Collector Set from a Template

NEW QUESTION: 2
Lisa, an administrator, has set up an 802.11n wireless network. Users with 802.11n laptops have reported that speeds are slow. After testing, Lisa determines that users max out at 802.11g speeds. Which of the following would MOST likely fix this issue?
A. Limit the clients to 802.11g compatible laptops
B. Use the 40MHz channels in the 2.4GHz band
C. Enable access point antenna isolation
D. Enable wireless multimedia (WMM) for QoS
Answer: D

NEW QUESTION: 3
You are designing a data processing solution that will run as a Spark job on an HDInsight cluster. The solution will be used to provide near real-time information about online ordering for a retailer.
The solution must include a page on the company intranet that displays summary information.
The summary information page must meet the following requirements:
* Display a summary of sales to date grouped by product categories, price range, and review scope.
* Display sales summary information including total sales, sales as compared to one day ago and sales as compared to one year ago.
* Reflect information for new orders as quickly as possible.
You need to recommend a design for the solution.
What should you recommend? To answer, select the appropriate configuration in the answer area.

Answer:
Explanation:

Explanation

Box 1: DataFrame
DataFrames
Best choice in most situations.
Provides query optimization through Catalyst.
Whole-stage code generation.
Direct memory access.
Low garbage collection (GC) overhead.
Not as developer-friendly as DataSets, as there are no compile-time checks or domain object programming.
Box 2: parquet
The best format for performance is parquet with snappy compression, which is the default in Spark 2.x.
Parquet stores data in columnar format, and is highly optimized in Spark.

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